? Hiring: Senior Python & PySpark Data Engineer

? Location: Gurgaon — Local candidates only

? Experience: 5+ Years

? Relevant Experience: 5+ Years

? Shift: 2:00 PM – 11:00 PM IST

? Mandatory Skills

- Python
- PySpark
- AWS Services
- Shell Scripting / SQL

? Key Responsibilities & Requirements
- Strong hands-on experience in Python and PySpark for application development, ETL processes, and Data Lake curation.
- Build and develop PySpark applications using Spark DataFrames with tools such as Jupyter Notebook and PyCharm.
- Optimize Spark jobs for large-scale datasets and high-volume workloads.
- Hands-on experience with Git/version control.
- Strong experience with AWS Analytics services such as Amazon EMR/EMR Serverless, Athena, and AWS Glue.
- Experience with AWS Lambda, EC2, S3, SNS,



and related AWS services.
- Valuable knowledge of Bash/Shell scripting and SQL.
- Experience designing and developing ETL pipelines for CSV, TSV, XML, JSON, fixed-width, delimited, and multi-record file formats.
- Strong understanding of Data Warehouse concepts, including Facts & Dimensions, Star Schema, and Snowflake Schema.
- Minimum 4+ years of overall IT experience, with hands-on experience in Big Data technologies.

? Interested candidates can share their updated resumes with relevant experience, current location, notice period, and rate details.

To this Email - [email protected]

📌 Senior Python & PySpark Data Engineer (Gurugram)
🏢 TECEZE
📍 Gurugram